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Underlying dimensions of benefit and risk perception and their effects on people’s acceptance of conditionally/fully automated vehicles

Bibliographic Data

ID19339202
AuthorsYukari Jessica Tham (0000-0003-1580-5170, Japan Society for the Promotion of Science, corresponding author), Takaaki Hashimoto (0000-0003-2070-9079, Toyo University), Kaori Karasawa (0000-0003-0805-1673, The University of Tokyo)
Year2022
Volume49
Issue6
Pages1715-1736
Publication date2022-12-01
Open AccessYes
TypeARTICLE
VenueTransportation (JOURNAL)
Journal identifiersISSN: 0049-4488 • E-ISSN: 1572-9435
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s11116-021-10225-0
OpenAlexW3200488956
LanguageEN
Citations received2
References cited32

Business · Econometrics · Economics · Perception · Public economics · Risk analysis (engineering) · Risk perception · Transport engineering · Computer Science · Engineering · Human-Automation Interaction and Safety · Older Adults Driving Studies · Psychology · Traffic and Road Safety

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  • Trade-offs in AI assistant choice

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  • Are risk or benefit perceptions more important for public acceptance of innovative food technologies

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    Open Access•Şengül Cangür, Ilker Ercan•Journal of Modern Applied…•2015

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  • A Rationale and Test for the Number of Factors in Factor Analysis

    Open Access•John L Horn•Psychometrika•1965

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    Open Access•Fred D Davis, Richard P Bagozzi et al.•Management Science•1989

  • Exploring the Sensitivity of Horn's Parallel Analysis to the Distributional Form of Random Data

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  • Psychological roadblocks to the adoption of self-driving vehicles

    Open Access•Abusaleh Shariff, Azim Shariff et al.•Nature Human Behaviour•2017

  • Exploratory Factor Analysis

    Open Access•Marley W Watkins•Journal of Black Psychology•2018

Citations per year0.67
Citation span2023 - 2024 (2)
Highly citedNo

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